Senior MLOps Python Engineer

Quick Facts

• Role: Senior MLOps Python Engineer

• Focus: Production-ready ML pipelines across Azure and on-prem ETL clusters

• Work mode: Primarily remote, occasional on-site collaboration (~once a month)

Description

Build and maintain machine learning workflows in production, including deployment, monitoring, and automation. Work with Data Scientists to deliver AI-driven solutions and improve internal engineering standards, using Azure cloud infrastructure and on-prem ETL clusters. The role emphasizes reusable tooling, reliable pipelines, and scalable ML operations.

Responsibilities

• Develop libraries, tools, and frameworks to standardize and accelerate end-to-end ML development and deployment

• Implement and operate ML workflows in Azure, including AzureML training code and Infrastructure as Code (IaC)

• Use Spark for distributed training and computation across large datasets

• Troubleshoot and resolve technical issues to ensure high-availability, reusable, and adaptable solutions

• Collaborate with engineering and data science teams to optimize core workflows

• Apply best practices for code quality, security, and scalability

• Support automation and reproducibility for onboarding, deployment, and patching of new ML models

Requirements

• Advanced Python experience with hands-on production delivery

• Practical experience with orchestration (Airflow)

• Background in distributed data processing (Spark)

• Hands-on Kubernetes experience

• Cloud experience (Azure preferred) and Docker containerization

• Strong experience with GitHub Actions

• Productionize ML models and set up monitoring (MLOps)

• English proficiency at least B2/C1

• Primarily remote work with occasional on-site collaboration (~once a month)

Benefits

• Flexible hybrid work model

• Home office reimbursement

• Language lessons

• Private healthcare

• Training package and in-house training

• Optional perks for B2B contractors